Filter by
The language used throughout the course, in both instruction and assessments.
174 results for "mathematics for machine learning"
University of California San Diego
Skills you'll gain: Algorithms, Theoretical Computer Science, Computer Programming, Data Structures, Problem Solving, Mathematics, Computational Thinking, Computer Programming Tools, Computational Logic, Critical Thinking, Graph Theory, Programming Principles, Mathematical Theory & Analysis, C++ Programming, Algebra, Software Testing
Johns Hopkins University
University of London
Skills you'll gain: Mathematical Theory & Analysis, Mathematics, Problem Solving, Algebra, Calculus, Applied Mathematics, Critical Thinking, Theoretical Computer Science
University of London
Skills you'll gain: Algorithms, Artificial Neural Networks, Deep Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Applied Machine Learning, Decision Making, Feature Engineering, Training
DeepLearning.AI
Skills you'll gain: Machine Learning, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning Software, Network Model, Algorithms, Computer Programming, Computer Vision, Network Architecture, Natural Language Processing, Tensorflow, Human Learning, Data Analysis, Data Model, Exploratory Data Analysis, Process Analysis, Strategy, Mathematics, Mathematical Theory & Analysis, Linear Algebra, Regression, Calculus
Skills you'll gain: Machine Learning, Deep Learning, Artificial Neural Networks, Human Learning, Python Programming, Machine Learning Algorithms, Applied Machine Learning, Algorithms, Machine Learning Software, Regression, Network Model, Statistical Machine Learning, Computer Vision, Apache, Big Data, Mathematical Theory & Analysis, Computer Programming, Data Analysis, Network Architecture, Extract, Transform, Load, Data Visualization, Tensorflow, Visualization (Computer Graphics), Dimensionality Reduction, Data Science
Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Algebra, Linear Algebra
University of California, Santa Cruz
Skills you'll gain: Probability & Statistics, Bayesian Statistics, Probability Distribution, General Statistics, Statistical Analysis, R Programming, Statistical Programming, Mathematics, Regression, Data Analysis, Estimation, Mathematical Theory & Analysis, Machine Learning, Markov Model, Forecasting
University of Michigan
Skills you'll gain: General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Statistical Tests, Basic Descriptive Statistics, Probability Distribution, Python Programming, Statistical Visualization, Statistical Programming, Plot (Graphics), Regression, Correlation And Dependence, Critical Thinking, Data Visualization, Exploratory Data Analysis, Computer Programming, Bayesian Statistics
Johns Hopkins University
Skills you'll gain: Mathematics, Algebra, Problem Solving, Calculus, Critical Thinking, Mathematical Theory & Analysis, Linear Algebra, Plot (Graphics), Applied Mathematics, Data Model, Regression, Angular, Geometry, Data Analysis, Graph Theory
- Status: Free
Princeton University
Skills you'll gain: Computer Programming, Java Programming, Programming Principles, Computational Thinking, Algorithms, Computational Logic, Theoretical Computer Science, Critical Thinking, Mathematical Theory & Analysis, Problem Solving, Computer Science
Johns Hopkins University
Skills you'll gain: R Programming, Data Analysis, Statistical Programming, Statistical Analysis, Computer Programming, Exploratory Data Analysis, General Statistics, Problem Solving, Data Analysis Software, Probability & Statistics, Computer Programming Tools, Critical Thinking, Programming Principles, Statistical Tests, Data Management, Data Structures, Statistical Machine Learning, Basic Descriptive Statistics, Algorithms, Data Model, Human Learning, Machine Learning, Machine Learning Algorithms, Process Analysis, Correlation And Dependence, Data Visualization, Data Visualization Software, Plot (Graphics), Regression, Computer Graphics, Interactive Data Visualization, Applied Machine Learning, Big Data, Computational Thinking, Data Mining, Estimation, Extract, Transform, Load, Probability Distribution, Databases, Machine Learning Software, Communication, Computer Graphic Techniques, Knitr, Natural Language Processing, Visualization (Computer Graphics), Interactive Design, Web Development
Searches related to mathematics for machine learning
In summary, here are 10 of our most popular mathematics for machine learning courses
- Data Structures and Algorithms:Â University of California San Diego
- Linear Algebra from Elementary to Advanced:Â Johns Hopkins University
- Mathematics for Computer Science:Â University of London
- Machine Learning for All:Â University of London
- Deep Learning:Â DeepLearning.AI
- IBM AI Engineering:Â IBM
- Math for AI beginner part 1 Linear Algebra:Â Korea Advanced Institute of Science and Technology(KAIST)
- Bayesian Statistics:Â University of California, Santa Cruz
- Statistics with Python:Â University of Michigan
- Precalculus through Data and Modelling:Â Johns Hopkins University